Forensic science serp_jobs.h1.location_city

Summary

Using your knowledge of ML / AI you will build technologies to determine when a customer might be at risk and what actions can be taken to help improve health trajectories. Your work will require deep acquaintance with our data, seeking to find ways to deliver value through advanced feature engineering. From your models you will deliver actionable insights that can be incorporated into existing wellness products as well as new programs. In addition to collaborating with Data Science Management to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.

The ideal candidate for this role will have strong coding skills (preferably in Python), a passion for creating technology to improve health care, and an attitude of creativity and continual learning.

Responsibilities

Create models using ML / AI techniques to predict risk and identify actionable insights

Deliver clean, reusable, and scalable code

Work closely with Data & Engineering to deploy models

Provide thought leadership on latest analytic techniques, technologies and methods

Qualifications

Experience with leading ML / AI methods; XGBoost, deep learning, linear regression, supervised and unsupervised learning techniques and reinforcement learning; optimization required

Experience with Python and its data science libraries such as Scikit-learn, Pandas, Numpy required

Excellent oral and written communication skills

MS in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience